52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
from __future__ import print_function
|
|
import io
|
|
from IPython.nbformat import current
|
|
import sys
|
|
|
|
def remove_formatting(nb):
|
|
w = nb['worksheets']
|
|
node = w[0]
|
|
c = node['cells']
|
|
for i in range (len(c)):
|
|
if 'input' in c[i].keys():
|
|
if c[i]['input'][0:16] == '#format the book':
|
|
del c[i]
|
|
return
|
|
|
|
|
|
def merge_notebooks(filenames):
|
|
merged = None
|
|
for fname in filenames:
|
|
with io.open(fname, 'r', encoding='utf-8') as f:
|
|
nb = current.read(f, u'json')
|
|
remove_formatting(nb)
|
|
if merged is None:
|
|
merged = nb
|
|
else:
|
|
merged.worksheets[0].cells.extend(nb.worksheets[0].cells)
|
|
merged.metadata.name += "_merged"
|
|
|
|
print(current.writes(merged, u'json'))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
#merge_notebooks(sys.argv[1:])
|
|
merge_notebooks(
|
|
['Preface.ipynb',
|
|
'g-h_filter.ipynb',
|
|
'discrete_bayes.ipynb',
|
|
'Least_Squares_Filters.ipynb',
|
|
'Gaussians.ipynb',
|
|
'Kalman_Filters.ipynb',
|
|
'Multivariate_Kalman_Filters.ipynb',
|
|
'Kalman_Filter_Math.ipynb',
|
|
'Designing_Kalman_Filters.ipynb',
|
|
'Extended_Kalman_Filters.ipynb',
|
|
'Unscented_Kalman_Filter.ipynb',
|
|
'Designing_Nonlinear_Kalman_Filters.ipynb',
|
|
'Appendix_Installation.ipynb',
|
|
'Appendix_Symbols_and_Notations.ipynb'])
|
|
|
|
|
|
# merge_notebooks(['Preface.ipynb', g-h_filter.ipynb discrete_bayes.ipynb Gaussians.ipynb Kalman_Filters.ipynb Multivariate_Kalman_Filters.ipynb Kalman_Filter_Math.ipynb Designing_Kalman_Filters.ipynb Extended_Kalman_Filters.ipynb Unscented_Kalman_Filter.ipynb'])
|